Περίληψη:
This paper presents a data-driven approach leveraging AI/ML models to
automate the service scaling operation and, in this way, meet the
service requirements while minimizing the consumption of network,
computing, and storage resources. This approach is integrated into the
5Growth service management software platform. In particular, a prototype
was developed to demonstrate how the novel 5Growth AI/ML platform can be
used in a closed-loop automation system to support the automated service
scaling operation. Furthermore, a number of additional ML-based
approaches are developed in the context of eMBB and C-V2N scenarios,
which can be embedded into the system for handling more complex use
cases.
Συγγραφείς:
de Vleeschauwer, Danny
Baranda, Jorge
Mangues-Bafalluy, Josep
and Fabiana Chiasserini, Carla
Malinverno, Marco
Puligheddu,
Corrado
Magoula, Lina
Martin-Perez, Jorge
Barmpounakis,
Sokratis
Kondepu, Koteswararao
Valcarenzhi, Luca
Li, Xi and
Papagianni, Chrysa
Garcia-Saavedra, Andres
